Medior Data/AI Engineer
Tasks
- Build RAG workflows
- Build conversational and agent workflows
- Collaborate with product and engineering teams on requirements and iteration
- Design prompts for LLMs
- Develop and test LLM integrations in Python
- Implement context management
- Implement data models and data quality checks
- Maintain backend services APIs and data pipelines
- Perform monitoring and evaluation for prompt effectiveness
- Run testing and basic monitoring for AI workflows
Perks/Benefits
- Extra days of vacation
- Family-friendly benefits
- Meal contribution
- Premium medical services
- Sickness compensation plan
- Wellness and leisure contribution
Skills/Tech-stack
API | Data Pipelines | Databricks | Docker | FastAPI | Flask | GraphQL | Kafka | LLM | Langgraph | NoSQL | Prompt engineering | Python | RAG | REST | Retrieval-Augmented Generation | SQL | Session management | Snowflake | Spark | Vector Search
Education
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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